Evidence map›Paper›PMID 33076951›Full record

Observational studyCritical care (London, England)2020

Increased percentage of PD-L1

Wenqiang Jiang, Xusheng Li, Miaoyun Wen, Xiaoyu Liu, Kangrong Wang, Qiaosheng Wang, Ya Li, Maohua Zhou, Mengting Liu, Bei Hu and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.8field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Insights into sepsis-induced apoptosis: Interplay between programmed cell death and interleukin-7.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. PD-1Respiratory research · 2024
    Article
  11. CTLA-4 expression on CD4Frontiers in immunology · 2024
    Article
  12. Review
  13. Review
  14. Peripheral PD-1Frontiers in immunology · 2024
    Observational
  15. Review
  16. Frontiers in immunology · 2024
    Article
  17. Review
  18. The expression of CD86 in CD3Immunologic research · 2023
    Observational
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Wenqiang JiangDepartment of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Xusheng LiDepartment of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Miaoyun WenDepartment of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Xiaoyu LiuDepartment of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Kangrong WangDepartment of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Qiaosheng WangDepartment of Critical Care Medicine, The First Affiliated Hospital, University of South China, No. 69, Chuanshan Road, Hengyang, 421001, Hunan, China.
Ya LiDepartment of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Maohua ZhouDivision of Laboratory, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Mengting LiuDepartment of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Bei HuDepartment of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China. 6791579@qq.com.
Hongke ZengDepartment of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China. zenghongke@vip.163.com.ORCID 0000-0003-3243-4199
Guangdong Academy of Medical Sciences · CNFirst Affiliated Hospital of University of South China · CN

Funding

Science and Technology Planning Project of Guangdong Province 2017A020215053Science and Technology Project of Guangzhou 201804010379
6 · The paper itself

Abstract

backgroundNatural killer (NK) cells play a major role in immune tolerance after sepsis, and the programmed cell death 1 (PD-1) and programmed cell death ligand 1 (PD-L1) system mediates evasion of host immunity. The correlation between PD-L1 levels in NK cells and the prognosis of patients with sepsis, however, has not been elucidated. Thus, it was hypothesized that PD-L1 in NK cells could be a novel biomarker of the mortality for sepsis patients.

methodsA prospective, observational, cohort study in a general intensive care unit had earlier enrolled patients according to the sepsis-3 criteria, and peripheral blood samples were collected within 24 h post-recruitment. The expression of four co-signaling molecules (PD-1, CD28, PD-L1, and CD86) in NK cells was assayed, and the sequential organ failure assessment (SOFA) scores were recorded on day 1. Patients were followed up until 28 days. Multivariate regression analysis assessed the independent risk factors for 28-day mortality. The association between biomarkers and 28-day mortality was assessed by Cox regression survival analysis. The accuracy of biomarkers for mortality was determined by the area under the receiver operating characteristic (ROC) curve (AUC) analysis.

resultsA total of 269 patients were recruited, and 114 patients were finally included for final analysis. Of these, 30 (26.3%) patients died during 28 days. The percentage of PD-L1

conclusionsThe percentage of PD-L1

Indexed as

Predictive Value of TestsAgedAged, 80 and overArea Under CurveB7-H1 AntigenBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedMultivariate AnalysisProportional Hazards ModelsProspective StudiesROC CurveSepsisB7-H1 AntigenBiomarkersCD274 protein, humanBiomarkerMortalityNK cellsPD-L1PrognosisSepsis

Identifiers

PMID33076951
PMCPMC7574346
OpenAlexW3092753365

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.